Videos

Start date cannot be after end date.

Using Trained Machine Learning Predictors in Gurobi

Presenter
  • Tobias Achterberg
April 27, 2023
ICERM
Root Number Correlation Bias of Fourier Coefficients of Modular Forms Thumbnail

Root Number Correlation Bias of Fourier Coefficients of Modular Forms

Presenter
  • Nina Zubrilina
April 20, 2023
IAS
Introduction to Interpretable Machine Learning IV Thumbnail

Introduction to Interpretable Machine Learning IV

Presenter
  • Cynthia Rudin
May 27, 2022
IAS
Introduction to Interpretable Machine Learning II Thumbnail

Introduction to Interpretable Machine Learning II

Presenter
  • Cynthia Rudin
May 24, 2022
IAS
Introduction to Interpretable Machine Learning Thumbnail

Introduction to Interpretable Machine Learning

Presenter
  • Cynthia Rudin
May 23, 2022
IAS
Spectral Gap in Regular Graphs and Hypergraphs Thumbnail

Spectral Gap in Regular Graphs and Hypergraphs

Presenter
  • Ioana Dumitriu
September 24, 2021
SLMath
Sampling Beyond Log-concavity Thumbnail

Sampling Beyond Log-concavity

Presenter
  • Andrej Risteski
April 15, 2021
IMSI
Sparse Random Features for Function Approximation Thumbnail

Sparse Random Features for Function Approximation

Presenter
  • Rachel Ward
April 13, 2021
IMSI
On Langevin Dynamics in Machine Learning Thumbnail

On Langevin Dynamics in Machine Learning

Presenter
  • Michael Jordan
June 11, 2020
IAS
Learning with entropy-regularized optimal transport Thumbnail

Learning with entropy-regularized optimal transport

Presenter
  • Aude Genevay
May 8, 2020
SLMath
Trainability and accuracy of artificial neural networks Thumbnail

Trainability and accuracy of artificial neural networks

Presenter
  • Eric Vanden-Eijnden
November 18, 2019
IPAM
Validation and Reproducibility by Geometry, for Unsupervised Learning Thumbnail

Validation and Reproducibility by Geometry, for Unsupervised Learning

Presenter
  • Marina Meila
October 31, 2019
IPAM